A corrective method for image completion based on SPBP and SP

Jingping Zhang, Yahong Han
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Abstract

In this paper a novel approach to image completion is introduced, which based on algorithm of Structure Priority Belief Propagation (SPBP) and Structure Propagation (SP). It is to use the user input line segment as auxiliary and use other one kind of distribution to source patches and destination patches. Namely in the auxiliary line source part which shows the belt-shaped discrete distribution, to destination patches which needs to complete, So each destination patch, which containing auxiliary line segment, is the similar overlap scheme for SPBP algorithm. The experimental results indicated that this optimized method surpasses the first two algorithms obviously in the image completion effect, and enhances the operation efficiency as well.
基于SPBP和SP的图像补全校正方法
提出了一种基于结构优先信念传播(SPBP)和结构传播(SP)算法的图像补全方法。即以用户输入线段为辅助,对源补丁和目的补丁使用另一种分布。即在辅助线源部分呈现带状离散分布,到需要补全的目标补片,因此每个包含辅助线段的目标补片都是SPBP算法的类似重叠方案。实验结果表明,该优化方法在图像补全效果上明显优于前两种算法,同时提高了运算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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